diff --git a/src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java b/src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java
index 2721f5f4..b946c6ab 100644
--- a/src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java
+++ b/src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java
@@ -44,53 +44,53 @@ public class InferenceResultApiController {
 
   @Operation(summary = "추론관리 목록", description = "어드민 홈 > 추론관리 > 추론관리 > 추론관리 목록")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "검색 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(implementation = Page.class))),
-      @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/list")
   public ApiResponseDto<Page<ResultList>> getInferenceResultList(
-    @Parameter(description = "국유인 반영 여부", example = "Y") @RequestParam(required = false)
-    String applyYn,
-    @Parameter(description = "반영일", example = "2025-01-01") @RequestParam(required = false)
-    LocalDate strtDttm,
-    @Parameter(description = "반영일", example = "2026-01-01") @RequestParam(required = false)
-    LocalDate endDttm,
-    @Parameter(description = "제목", example = "변화탐지") @RequestParam(required = false) String title,
-    @Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
-    int page,
-    @Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
-    int size) {
+      @Parameter(description = "국유인 반영 여부", example = "Y") @RequestParam(required = false)
+          String applyYn,
+      @Parameter(description = "반영일", example = "2025-01-01") @RequestParam(required = false)
+          LocalDate strtDttm,
+      @Parameter(description = "반영일", example = "2026-01-01") @RequestParam(required = false)
+          LocalDate endDttm,
+      @Parameter(description = "제목", example = "변화탐지") @RequestParam(required = false) String title,
+      @Parameter(description = "페이지 번호 (0부터 시작)", example = "0") @RequestParam(defaultValue = "0")
+          int page,
+      @Parameter(description = "페이지 크기", example = "20") @RequestParam(defaultValue = "20")
+          int size) {
     InferenceResultDto.SearchListReq req =
-      new InferenceResultDto.SearchListReq(applyYn, strtDttm, endDttm, title, page, size);
+        new InferenceResultDto.SearchListReq(applyYn, strtDttm, endDttm, title, page, size);
     Page<ResultList> analResList = inferenceResultService.getInferenceResultList(req);
     return ApiResponseDto.ok(analResList);
   }
 
   @Operation(summary = "추론 진행 여부 확인", description = "어드민 홈 > 추론관리 > 추론관리 > 추론관리 목록")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "검색 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema =
-          @Schema(
-            description = "진행 여부 (UUID 있으면 진행중)",
-            type = "UUID",
-            example = "44709877-2e27-4fc5-bacb-8e0328c69b64"))),
-      @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema =
+                        @Schema(
+                            description = "진행 여부 (UUID 있으면 진행중)",
+                            type = "UUID",
+                            example = "44709877-2e27-4fc5-bacb-8e0328c69b64"))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/processing-yn")
   public ApiResponseDto<UUID> getProcessing() {
     return ApiResponseDto.ok(inferenceResultService.getProcessing());
@@ -98,17 +98,17 @@ public class InferenceResultApiController {
 
   @Operation(summary = "년도 목록 조회", description = "어드민 홈 > 추론관리 > 추론목록 > 변화탐지 실행 정보 입력 > 년도 목록 조회")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "조회 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          array = @ArraySchema(schema = @Schema(implementation = Integer.class)))),
-      @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    array = @ArraySchema(schema = @Schema(implementation = Integer.class)))),
+        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/years")
   public ApiResponseDto<List<Integer>> findMapSheetMngDoneYyyyList() {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetMngDoneYyyyList());
@@ -116,57 +116,57 @@ public class InferenceResultApiController {
 
   @Operation(summary = "변화탐지 실행 정보 입력", description = "어드민 홈 > 추론관리 > 추론목록 > 변화탐지 실행 정보 입력")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "201",
-        description = "변화탐지 실행 정보 생성 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(description = "저장 uuid", implementation = UUID.class))),
-      @ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "201",
+            description = "변화탐지 실행 정보 생성 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(description = "저장 uuid", implementation = UUID.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @PostMapping("/reg")
   public ApiResponseDto<UUID> saveInferenceInfo(
-    @io.swagger.v3.oas.annotations.parameters.RequestBody(
-      description = "변화탐지 실행 정보 저장 요청 정보",
-      required = true)
-    @RequestBody
-    @Valid
-    InferenceResultDto.RegReq req) {
+      @io.swagger.v3.oas.annotations.parameters.RequestBody(
+              description = "변화탐지 실행 정보 저장 요청 정보",
+              required = true)
+          @RequestBody
+          @Valid
+          InferenceResultDto.RegReq req) {
     UUID uuid = inferenceResultService.saveInferenceInfo(req);
     return ApiResponseDto.ok(uuid);
   }
 
   @Operation(summary = "분석 모델 선택 조회", description = "변화탐지 실행 정보 입력 모델선택 팝업 ")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "분석 모델 조회 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(description = "분석 모델", implementation = Page.class))),
-      @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "분석 모델 조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(description = "분석 모델", implementation = Page.class))),
+        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/model")
   public ApiResponseDto<Page<ModelMngDto.ModelList>> saveInferenceInfo(
-    @Parameter(description = "모델 생성일 시작", example = "2025-12-01") @RequestParam(required = false)
-    LocalDate strtDttm,
-    @Parameter(description = "모델 생성일 종료", example = "2026-01-09") @RequestParam(required = false)
-    LocalDate endDttm,
-    @Parameter(description = "키워드 (모델버전)", example = "M1.H1.E28") @RequestParam(required = false)
-    String searchVal,
-    @Parameter(description = "타입", example = "M1") @RequestParam(required = false)
-    String modelType,
-    @RequestParam(defaultValue = "0") int page,
-    @RequestParam(defaultValue = "20") int size) {
+      @Parameter(description = "모델 생성일 시작", example = "2025-12-01") @RequestParam(required = false)
+          LocalDate strtDttm,
+      @Parameter(description = "모델 생성일 종료", example = "2026-01-09") @RequestParam(required = false)
+          LocalDate endDttm,
+      @Parameter(description = "키워드 (모델버전)", example = "M1.H1.E28") @RequestParam(required = false)
+          String searchVal,
+      @Parameter(description = "타입", example = "M1") @RequestParam(required = false)
+          String modelType,
+      @RequestParam(defaultValue = "0") int page,
+      @RequestParam(defaultValue = "20") int size) {
     ModelMngDto.searchReq searchReq = new ModelMngDto.searchReq(page, size, null);
     Page<ModelMngDto.ModelList> result =
-      modelMngService.findModelMgmtList(searchReq, strtDttm, endDttm, modelType, searchVal);
+        modelMngService.findModelMgmtList(searchReq, strtDttm, endDttm, modelType, searchVal);
     return ApiResponseDto.ok(result);
   }
 
@@ -246,17 +246,17 @@ public class InferenceResultApiController {
 
   @Operation(summary = "추론관리 추론진행 서버 현황", description = "추론관리 추론진행 서버 현황")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "검색 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(implementation = Page.class))),
-      @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/serverStatus")
   public ApiResponseDto<List<InferenceServerStatusDto>> getInferenceServerStatusList() {
 
@@ -265,46 +265,46 @@ public class InferenceResultApiController {
 
   @Operation(summary = "추론관리 진행현황 상세", description = "어드민 홈 > 추론관리 > 추론관리 > 진행현황 상세")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "검색 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(implementation = InferenceStatusDetailDto.class))),
-      @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = InferenceStatusDetailDto.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/status/{uuid}")
   public ApiResponseDto<InferenceStatusDetailDto> getInferenceStatus(
-    @io.swagger.v3.oas.annotations.parameters.RequestBody(
-      description = "추론 진행현황 정보",
-      required = true)
-    @PathVariable
-    UUID uuid) {
+      @io.swagger.v3.oas.annotations.parameters.RequestBody(
+              description = "추론 진행현황 정보",
+              required = true)
+          @PathVariable
+          UUID uuid) {
 
     return ApiResponseDto.ok(inferenceResultService.getInferenceStatus(uuid));
   }
 
   @Operation(summary = "추론결과 기본정보", description = "추론결과 기본정보")
   @ApiResponses(
-    value = {
-      @ApiResponse(
-        responseCode = "200",
-        description = "검색 성공",
-        content =
-        @Content(
-          mediaType = "application/json",
-          schema = @Schema(implementation = InferenceDetailDto.AnalResSummary.class))),
-      @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-      @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-    })
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = InferenceDetailDto.AnalResSummary.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
   @GetMapping("/infer-result-info")
   public ApiResponseDto<InferenceDetailDto.AnalResultInfo> getInferenceResultInfo(
-    @Parameter(description = "회차 uuid", example = "932fbd72-2e8e-4a49-b189-09046787f9d1")
-    @RequestParam
-    String uuid) {
+      @Parameter(description = "회차 uuid", example = "932fbd72-2e8e-4a49-b189-09046787f9d1")
+          @RequestParam
+          String uuid) {
     return ApiResponseDto.ok(inferenceResultService.getInferenceResultInfo(uuid));
   }
 
diff --git a/src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java b/src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java
index 0feaef04..128baa9a 100644
--- a/src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java
+++ b/src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java
@@ -22,9 +22,7 @@ import org.springframework.data.domain.Pageable;
 
 public class InferenceResultDto {
 
-  /**
-   * 탐지 데이터 옵션 dto
-   */
+  /** 탐지 데이터 옵션 dto */
   @Getter
   @AllArgsConstructor
   public enum MapSheetScope implements EnumType {
@@ -53,9 +51,7 @@ public class InferenceResultDto {
     }
   }
 
-  /**
-   * 분석대상 도엽 enum
-   */
+  /** 분석대상 도엽 enum */
   @Getter
   @AllArgsConstructor
   public enum DetectOption implements EnumType {
@@ -132,9 +128,7 @@ public class InferenceResultDto {
     }
   }
 
-  /**
-   * 목록조회 dto
-   */
+  /** 목록조회 dto */
   @Getter
   @Setter
   @AllArgsConstructor
@@ -146,15 +140,11 @@ public class InferenceResultDto {
     private String status;
     private String mapSheetCnt;
     private Long detectingCnt;
-    @JsonFormatDttm
-    private ZonedDateTime startTime;
-    @JsonFormatDttm
-    private ZonedDateTime endTime;
-    @JsonFormatDttm
-    private ZonedDateTime elapsedTime;
+    @JsonFormatDttm private ZonedDateTime startTime;
+    @JsonFormatDttm private ZonedDateTime endTime;
+    @JsonFormatDttm private ZonedDateTime elapsedTime;
     private Boolean applyYn;
-    @JsonFormatDttm
-    private ZonedDateTime applyDttm;
+    @JsonFormatDttm private ZonedDateTime applyDttm;
 
     @JsonProperty("statusName")
     public String statusName() {
@@ -162,9 +152,7 @@ public class InferenceResultDto {
     }
   }
 
-  /**
-   * 목록조회 검색 조건 dto
-   */
+  /** 목록조회 검색 조건 dto */
   @Getter
   @Setter
   @NoArgsConstructor
@@ -186,9 +174,7 @@ public class InferenceResultDto {
     }
   }
 
-  /**
-   * 변화탐지 실행 정보 저장 요청 정보
-   */
+  /** 변화탐지 실행 정보 저장 요청 정보 */
   @Getter
   @Setter
   @NoArgsConstructor
@@ -227,8 +213,8 @@ public class InferenceResultDto {
     @Schema(description = "탐지 데이터 옵션 - 추론제외(EXCL), 이전 년도 도엽 사용(PREV)", example = "EXCL")
     @NotBlank
     @EnumValid(
-      enumClass = DetectOption.class,
-      message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
+        enumClass = DetectOption.class,
+        message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
     private String detectOption;
 
     @Schema(description = "5k 도협 번호 목록", example = "[33605,33606, 33610, 34802, 35603, 35611]")
@@ -252,96 +238,121 @@ public class InferenceResultDto {
 
     @Schema(description = "탐지대상 도엽수")
     private Long detectingCnt;
+
     @Schema(description = "모델1 분석 대기")
     private Integer m1PendingJobs;
+
     @Schema(description = "모델2 분석 대기")
     private Integer m2PendingJobs;
+
     @Schema(description = "모델3 분석 대기")
     private Integer m3PendingJobs;
+
     @Schema(description = "모델1 분석 완료")
     private Integer m1CompletedJobs;
+
     @Schema(description = "모델2 분석 완료")
     private Integer m2CompletedJobs;
+
     @Schema(description = "모델3 분석 완료")
     private Integer m3CompletedJobs;
+
     @Schema(description = "모델1 분석 실패")
     private Integer m1FailedJobs;
+
     @Schema(description = "모델2 분석 실패")
     private Integer m2FailedJobs;
+
     @Schema(description = "모델3 분석 실패")
     private Integer m3FailedJobs;
+
     @Schema(description = "모델1 사용시간 시작일시")
     @JsonFormatDttm
     ZonedDateTime m1ModelStartDttm;
+
     @Schema(description = "모델2 사용시간 시작일시")
     @JsonFormatDttm
     ZonedDateTime m2ModelStartDttm;
+
     @Schema(description = "모델3 사용시간 시작일시")
     @JsonFormatDttm
     ZonedDateTime m3ModelStartDttm;
+
     @Schema(description = "모델1 사용시간 종료일시")
     @JsonFormatDttm
     ZonedDateTime m1ModelEndDttm;
+
     @Schema(description = "모델2 사용시간 종료일시")
     @JsonFormatDttm
     ZonedDateTime m2ModelEndDttm;
+
     @Schema(description = "모델3 사용시간 종료일시")
     @JsonFormatDttm
     ZonedDateTime m3ModelEndDttm;
+
     @Schema(description = "변화탐지 제목")
     private String title;
+
     @Schema(description = "비교년도")
     private Integer compareYyyy;
+
     @Schema(description = "기준년도")
     private Integer targetYyyy;
+
     @Schema(description = "회차")
     private Integer stage;
+
     @Schema(description = "변화탐지 시작")
     @JsonFormatDttm
     private ZonedDateTime inferStartDttm;
+
     @Schema(description = "변화탐지 종료")
     @JsonFormatDttm
     private ZonedDateTime inferEndDttm;
+
     @Schema(description = "변화탐지 옵션")
     private String detectOption;
+
     @Schema(description = "분석도엽")
     private String mapSheetScope;
+
     @Schema(description = "모델1 버전")
     private String modelVer1;
+
     @Schema(description = "모델2 버전")
     private String modelVer2;
+
     @Schema(description = "모델3 버전")
     private String modelVer3;
 
     public InferenceStatusDetailDto(
-      Long detectingCnt,
-      Integer m1PendingJobs,
-      Integer m2PendingJobs,
-      Integer m3PendingJobs,
-      Integer m1CompletedJobs,
-      Integer m2CompletedJobs,
-      Integer m3CompletedJobs,
-      Integer m1FailedJobs,
-      Integer m2FailedJobs,
-      Integer m3FailedJobs,
-      ZonedDateTime m1ModelStartDttm,
-      ZonedDateTime m2ModelStartDttm,
-      ZonedDateTime m3ModelStartDttm,
-      ZonedDateTime m1ModelEndDttm,
-      ZonedDateTime m2ModelEndDttm,
-      ZonedDateTime m3ModelEndDttm,
-      String title,
-      Integer compareYyyy,
-      Integer targetYyyy,
-      Integer stage,
-      ZonedDateTime inferStartDttm,
-      ZonedDateTime inferEndDttm,
-      String detectOption,
-      String mapSheetScope,
-      String modelVer1,
-      String modelVer2,
-      String modelVer3
-    ) {
+        Long detectingCnt,
+        Integer m1PendingJobs,
+        Integer m2PendingJobs,
+        Integer m3PendingJobs,
+        Integer m1CompletedJobs,
+        Integer m2CompletedJobs,
+        Integer m3CompletedJobs,
+        Integer m1FailedJobs,
+        Integer m2FailedJobs,
+        Integer m3FailedJobs,
+        ZonedDateTime m1ModelStartDttm,
+        ZonedDateTime m2ModelStartDttm,
+        ZonedDateTime m3ModelStartDttm,
+        ZonedDateTime m1ModelEndDttm,
+        ZonedDateTime m2ModelEndDttm,
+        ZonedDateTime m3ModelEndDttm,
+        String title,
+        Integer compareYyyy,
+        Integer targetYyyy,
+        Integer stage,
+        ZonedDateTime inferStartDttm,
+        ZonedDateTime inferEndDttm,
+        String detectOption,
+        String mapSheetScope,
+        String modelVer1,
+        String modelVer2,
+        String modelVer3) {
       this.detectingCnt = detectingCnt;
       this.m1PendingJobs = m1PendingJobs;
       this.m2PendingJobs = m2PendingJobs;
@@ -373,11 +384,17 @@ public class InferenceResultDto {
 
     @JsonProperty("progress")
     private int getProgress() {
-      long tiles = this.detectingCnt;      // 도엽수
-      int models = 3;        // 모델 개수
-      int completed = this.m1CompletedJobs + this.m2CompletedJobs + this.m3CompletedJobs + this.m1FailedJobs + this.m2FailedJobs + this.m3FailedJobs;   // 완료수
+      long tiles = this.detectingCnt; // 도엽수
+      int models = 3; // 모델 개수
+      int completed =
+          this.m1CompletedJobs
+              + this.m2CompletedJobs
+              + this.m3CompletedJobs
+              + this.m1FailedJobs
+              + this.m2FailedJobs
+              + this.m3FailedJobs; // 완료수
 
-      long total = tiles * models;                 // 전체 작업량
+      long total = tiles * models; // 전체 작업량
       return (int) ((completed * 100L) / total);
     }
 
@@ -392,7 +409,6 @@ public class InferenceResultDto {
     }
   }
 
-
   @Getter
   @Setter
   @NoArgsConstructor
@@ -400,12 +416,9 @@ public class InferenceResultDto {
   public static class InferenceServerStatusDto {
 
     private String serverName;
-    @JsonIgnore
-    private float cpu_user;
-    @JsonIgnore
-    private float cpu_system;
-    @JsonIgnore
-    private float memused;
+    @JsonIgnore private float cpu_user;
+    @JsonIgnore private float cpu_system;
+    @JsonIgnore private float memused;
     private Long kbmemused;
     private float gpuUtil;
 
diff --git a/src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java b/src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java
index 8bd7d6b2..1af57e25 100644
--- a/src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java
+++ b/src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java
@@ -109,7 +109,7 @@ public class InferenceResultService {
 
     // 변화탐지 실행 가능 비교년도 조회
     List<MngListCompareDto> compareList =
-      mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
+        mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
 
     if (compareList.isEmpty()) {
       throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
@@ -158,20 +158,20 @@ public class InferenceResultService {
 
     // 추론에 필요한 geojson 파일 생성
     List<String> mapSheetNumList =
-      targetList.stream()
-        .filter(t -> Boolean.TRUE.equals(t.getIsSuccess()))
-        .map(MngListDto::getMapSheetNum)
-        .toList();
+        targetList.stream()
+            .filter(t -> Boolean.TRUE.equals(t.getIsSuccess()))
+            .map(MngListDto::getMapSheetNum)
+            .toList();
 
     // 비교년도 geojson 파일 생성하여 경로 받기
     String modelComparePath =
-      getSceneInference(
-        String.valueOf(req.getCompareYyyy()), mapSheetNumList, req.getMapSheetScope());
+        getSceneInference(
+            String.valueOf(req.getCompareYyyy()), mapSheetNumList, req.getMapSheetScope());
 
     // 기준년도 geojson 파일 생성하여 경로 받기
     String modelTargetPath =
-      getSceneInference(
-        String.valueOf(req.getTargetYyyy()), mapSheetNumList, req.getMapSheetScope());
+        getSceneInference(
+            String.valueOf(req.getTargetYyyy()), mapSheetNumList, req.getMapSheetScope());
 
     // ai 서버에 전달할 파라미터 생성
     pred_requests_areas predRequestsAreas = new pred_requests_areas();
@@ -203,19 +203,19 @@ public class InferenceResultService {
 
   // 비교년도 탐지 제이터 옵션 별로 조회하여 req에 적용
   private List<MapSheetNumDto> createdMngDto(
-    InferenceResultDto.RegReq req, List<MngListDto> targetList) {
+      InferenceResultDto.RegReq req, List<MngListDto> targetList) {
     List<String> mapTargetIds = new ArrayList<>();
 
     targetList.forEach(
-      hstMapSheet -> {
-        // 비교년도는 target 년도 기준으로 가져옴 파라미터 만들기
-        mapTargetIds.add(hstMapSheet.getMapSheetNum());
-      });
+        hstMapSheet -> {
+          // 비교년도는 target 년도 기준으로 가져옴 파라미터 만들기
+          mapTargetIds.add(hstMapSheet.getMapSheetNum());
+        });
 
     // 비교년도 조회
     List<String> mapCompareIds = new ArrayList<>();
     List<MngListCompareDto> compareList =
-      mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
+        mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
 
     for (MngListCompareDto dto : compareList) {
       // 추론 제외일때 이전년도 파일이 없으면 제외
@@ -230,35 +230,35 @@ public class InferenceResultService {
     }
 
     Set<String> compareSet =
-      mapCompareIds.stream()
-        .filter(Objects::nonNull)
-        .map(String::trim) // 공백/개행 방지
-        .collect(Collectors.toSet());
+        mapCompareIds.stream()
+            .filter(Objects::nonNull)
+            .map(String::trim) // 공백/개행 방지
+            .collect(Collectors.toSet());
 
     // target 기준 compare 비교하여 서로 있는것만 저장
     List<String> commonIds =
-      mapTargetIds.stream()
-        .filter(Objects::nonNull)
-        .map(String::trim)
-        .filter(compareSet::contains)
-        .toList();
+        mapTargetIds.stream()
+            .filter(Objects::nonNull)
+            .map(String::trim)
+            .filter(compareSet::contains)
+            .toList();
 
     Set<String> commonIdSet =
-      commonIds.stream().filter(Objects::nonNull).map(String::trim).collect(Collectors.toSet());
+        commonIds.stream().filter(Objects::nonNull).map(String::trim).collect(Collectors.toSet());
 
     // 저장하기위해 파라미터 다시 구성
     List<MapSheetNumDto> mapSheetNum =
-      targetList.stream()
-        .filter(dto -> dto.getMapSheetNum() != null)
-        .filter(dto -> commonIdSet.contains(dto.getMapSheetNum().trim()))
-        .map(
-          dto -> {
-            MapSheetNumDto mapSheetNumDto = new MapSheetNumDto();
-            mapSheetNumDto.setMapSheetNum(dto.getMapSheetNum());
-            mapSheetNumDto.setMapSheetName(dto.getMapSheetName());
-            return mapSheetNumDto;
-          })
-        .toList();
+        targetList.stream()
+            .filter(dto -> dto.getMapSheetNum() != null)
+            .filter(dto -> commonIdSet.contains(dto.getMapSheetNum().trim()))
+            .map(
+                dto -> {
+                  MapSheetNumDto mapSheetNumDto = new MapSheetNumDto();
+                  mapSheetNumDto.setMapSheetNum(dto.getMapSheetNum());
+                  mapSheetNumDto.setMapSheetName(dto.getMapSheetName());
+                  return mapSheetNumDto;
+                })
+            .toList();
 
     return mapSheetNum;
   }
@@ -297,7 +297,7 @@ public class InferenceResultService {
     headers.setAccept(List.of(MediaType.APPLICATION_JSON));
 
     ExternalCallResult<String> result =
-      externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
+        externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
 
     if (result.statusCode() < 200 || result.statusCode() >= 300) {
       log.error("Inference API failed. status={}, body={}", result.statusCode(), result.body());
@@ -307,8 +307,7 @@ public class InferenceResultService {
     // 4) 응답 파싱
     try {
       List<Map<String, Object>> list =
-        objectMapper.readValue(result.body(), new TypeReference<>() {
-        });
+          objectMapper.readValue(result.body(), new TypeReference<>() {});
 
       if (list.isEmpty()) {
         throw new IllegalStateException("Inference response is empty");
@@ -377,8 +376,8 @@ public class InferenceResultService {
   /**
    * geojson 파일 생성
    *
-   * @param yyyy          영상관리 파일별 년도
-   * @param mapSheetNums  5k 도엽 번호 리스트
+   * @param yyyy 영상관리 파일별 년도
+   * @param mapSheetNums 5k 도엽 번호 리스트
    * @param mapSheetScope EXCL : 추론제외, PREV 이전 년도 도엽 사용
    * @return
    */
@@ -413,7 +412,7 @@ public class InferenceResultService {
    * @return
    */
   public Page<InferenceDetailDto.Geom> getInferenceResultGeomList(
-    Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
+      Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
     return inferenceResultCoreService.getInferenceResultGeomList(id, searchGeoReq);
   }
 
@@ -424,7 +423,7 @@ public class InferenceResultService {
    * @return
    */
   public Page<InferenceDetailDto.DetailListEntity> listInferenceResultWithGeom(
-    @NotNull Long id, InferenceDetailDto.SearchGeoReq searchReq) {
+      @NotNull Long id, InferenceDetailDto.SearchGeoReq searchReq) {
 
     return inferenceResultCoreService.listInferenceResultWithGeom(id, searchReq);
   }
diff --git a/src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java b/src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java
index 4aea070c..a78ff0b4 100644
--- a/src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java
+++ b/src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java
@@ -106,7 +106,7 @@ public class InferenceResultCoreService {
     mapSheetLearnEntity.setMapSheetCnt(mapSheetName);
     mapSheetLearnEntity.setDetectingCnt((long) detectingCnt);
     mapSheetLearnEntity.setStage(
-      mapSheetLearnRepository.getLearnStage(req.getCompareYyyy(), req.getTargetYyyy()));
+        mapSheetLearnRepository.getLearnStage(req.getCompareYyyy(), req.getTargetYyyy()));
 
     // learn 테이블 저장
     MapSheetLearnEntity savedLearn = mapSheetLearnRepository.save(mapSheetLearnEntity);
@@ -168,9 +168,9 @@ public class InferenceResultCoreService {
    */
   public InferenceDetailDto.AnalResSummary getInferenceResultSummary(Long id) {
     InferenceDetailDto.AnalResSummary summary =
-      mapSheetAnalDataRepository
-        .getInferenceResultSummary(id)
-        .orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
+        mapSheetAnalDataRepository
+            .getInferenceResultSummary(id)
+            .orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
     return summary;
   }
 
@@ -191,7 +191,7 @@ public class InferenceResultCoreService {
    * @return
    */
   public Page<InferenceDetailDto.Geom> getInferenceResultGeomList(
-    Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
+      Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
     return mapSheetAnalDataRepository.getInferenceGeomList(id, searchGeoReq);
   }
 
@@ -203,16 +203,16 @@ public class InferenceResultCoreService {
    */
   @Transactional(readOnly = true)
   public Page<InferenceDetailDto.DetailListEntity> listInferenceResultWithGeom(
-    @NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
+      @NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
     // 분석 ID 에 해당하는 dataids를 가져온다.
     List<Long> dataIds =
-      mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
-        .mapToLong(MapSheetAnalDataInferenceEntity::getId)
-        .boxed()
-        .toList();
+        mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
+            .mapToLong(MapSheetAnalDataInferenceEntity::getId)
+            .boxed()
+            .toList();
     // 해당데이터의 폴리곤데이터를 가져온다
     Page<MapSheetAnalDataInferenceGeomEntity> mapSheetAnalDataGeomEntities =
-      mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
+        mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
     return mapSheetAnalDataGeomEntities.map(MapSheetAnalDataInferenceGeomEntity::toEntity);
   }
 
@@ -229,14 +229,14 @@ public class InferenceResultCoreService {
   @Transactional(readOnly = true)
   public List<MapSheet> listGetScenes5k(Long analyId) {
     List<String> sceneCodes =
-      mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
-        .mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
-        .mapToObj(String::valueOf)
-        .toList();
+        mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
+            .mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
+            .mapToObj(String::valueOf)
+            .toList();
 
     return mapInkx5kRepository.listGetScenes5k(sceneCodes).stream()
-      .map(MapInkx5kEntity::toEntity)
-      .toList();
+        .map(MapInkx5kEntity::toEntity)
+        .toList();
   }
 
   /**
@@ -246,9 +246,9 @@ public class InferenceResultCoreService {
    */
   public void update(SaveInferenceAiDto request) {
     MapSheetLearnEntity entity =
-      mapSheetLearnRepository
-        .getInferenceResultByUuid(request.getUuid())
-        .orElseThrow(EntityNotFoundException::new);
+        mapSheetLearnRepository
+            .getInferenceResultByUuid(request.getUuid())
+            .orElseThrow(EntityNotFoundException::new);
 
     // M1/M2/M3 영역 업데이트
     if (request.getType() != null) {
@@ -270,46 +270,49 @@ public class InferenceResultCoreService {
 
   private void applyModelUpdate(MapSheetLearnEntity entity, SaveInferenceAiDto request) {
     switch (request.getType()) {
-      case "M1" -> applyModelFields(
-        request,
-        entity::setM1ModelBatchId,
-        entity::setM1ModelStartDttm,
-        entity::setM1ModelEndDttm,
-        entity::setM1PendingJobs,
-        entity::setM1RunningJobs,
-        entity::setM1CompletedJobs,
-        entity::setM1FailedJobs);
-      case "M2" -> applyModelFields(
-        request,
-        entity::setM2ModelBatchId,
-        entity::setM2ModelStartDttm,
-        entity::setM2ModelEndDttm,
-        entity::setM2PendingJobs,
-        entity::setM2RunningJobs,
-        entity::setM2CompletedJobs,
-        entity::setM2FailedJobs);
-      case "M3" -> applyModelFields(
-        request,
-        entity::setM3ModelBatchId,
-        entity::setM3ModelStartDttm,
-        entity::setM3ModelEndDttm,
-        entity::setM3PendingJobs,
-        entity::setM3RunningJobs,
-        entity::setM3CompletedJobs,
-        entity::setM3FailedJobs);
+      case "M1" ->
+          applyModelFields(
+              request,
+              entity::setM1ModelBatchId,
+              entity::setM1ModelStartDttm,
+              entity::setM1ModelEndDttm,
+              entity::setM1PendingJobs,
+              entity::setM1RunningJobs,
+              entity::setM1CompletedJobs,
+              entity::setM1FailedJobs);
+      case "M2" ->
+          applyModelFields(
+              request,
+              entity::setM2ModelBatchId,
+              entity::setM2ModelStartDttm,
+              entity::setM2ModelEndDttm,
+              entity::setM2PendingJobs,
+              entity::setM2RunningJobs,
+              entity::setM2CompletedJobs,
+              entity::setM2FailedJobs);
+      case "M3" ->
+          applyModelFields(
+              request,
+              entity::setM3ModelBatchId,
+              entity::setM3ModelStartDttm,
+              entity::setM3ModelEndDttm,
+              entity::setM3PendingJobs,
+              entity::setM3RunningJobs,
+              entity::setM3CompletedJobs,
+              entity::setM3FailedJobs);
       default -> throw new IllegalArgumentException("Unknown type: " + request.getType());
     }
   }
 
   private void applyModelFields(
-    SaveInferenceAiDto request,
-    Consumer<Long> setBatchId,
-    Consumer<ZonedDateTime> setStart,
-    Consumer<ZonedDateTime> setEnd,
-    Consumer<Integer> setPending,
-    Consumer<Integer> setRunning,
-    Consumer<Integer> setCompleted,
-    Consumer<Integer> setFailed) {
+      SaveInferenceAiDto request,
+      Consumer<Long> setBatchId,
+      Consumer<ZonedDateTime> setStart,
+      Consumer<ZonedDateTime> setEnd,
+      Consumer<Integer> setPending,
+      Consumer<Integer> setRunning,
+      Consumer<Integer> setCompleted,
+      Consumer<Integer> setFailed) {
     applyIfNotNull(request.getBatchId(), setBatchId);
     applyIfNotNull(request.getModelStartDttm(), setStart);
     applyIfNotNull(request.getModelEndDttm(), setEnd);
@@ -336,7 +339,7 @@ public class InferenceResultCoreService {
 
   public InferenceBatchSheet getInferenceResultByStatus(String status) {
     MapSheetLearnEntity entity =
-      mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
+        mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
 
     if (entity == null) {
       return null;
@@ -382,7 +385,7 @@ public class InferenceResultCoreService {
 
   /**
    * @param compareYear 비교년도
-   * @param targetYear  기준년도
+   * @param targetYear 기준년도
    * @return
    */
   public Integer getLearnStage(Integer compareYear, Integer targetYear) {
diff --git a/src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java b/src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java
index 87604269..d58f9b53 100644
--- a/src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java
+++ b/src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java
@@ -52,7 +52,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     BooleanBuilder builder = new BooleanBuilder();
 
     NumberExpression<Integer> statusOrder =
-      new CaseBuilder().when(mapSheetLearnEntity.status.eq("Y")).then(0).otherwise(1);
+        new CaseBuilder().when(mapSheetLearnEntity.status.eq("Y")).then(0).otherwise(1);
 
     // 국유인 반영 여부
     if (StringUtils.isNotBlank(req.getApplyYn())) {
@@ -66,10 +66,10 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     // 국유인 반영일
     if (req.getStrtDttm() != null && req.getEndDttm() != null) {
       builder.and(
-        mapSheetLearnEntity
-          .applyDttm
-          .goe(DateRange.start(req.getStrtDttm()))
-          .and(mapSheetLearnEntity.applyDttm.lt(DateRange.end(req.getEndDttm()))));
+          mapSheetLearnEntity
+              .applyDttm
+              .goe(DateRange.start(req.getStrtDttm()))
+              .and(mapSheetLearnEntity.applyDttm.lt(DateRange.end(req.getEndDttm()))));
     }
 
     // 제목
@@ -78,21 +78,21 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     }
 
     List<MapSheetLearnEntity> content =
-      queryFactory
-        .select(mapSheetLearnEntity)
-        .from(mapSheetLearnEntity)
-        .where(builder)
-        .offset(pageable.getOffset())
-        .limit(pageable.getPageSize())
-        .orderBy(mapSheetLearnEntity.id.desc())
-        .fetch();
+        queryFactory
+            .select(mapSheetLearnEntity)
+            .from(mapSheetLearnEntity)
+            .where(builder)
+            .offset(pageable.getOffset())
+            .limit(pageable.getPageSize())
+            .orderBy(mapSheetLearnEntity.id.desc())
+            .fetch();
 
     Long total =
-      queryFactory
-        .select(mapSheetLearnEntity.count())
-        .from(mapSheetLearnEntity)
-        .where(builder)
-        .fetchOne();
+        queryFactory
+            .select(mapSheetLearnEntity.count())
+            .from(mapSheetLearnEntity)
+            .where(builder)
+            .fetchOne();
 
     return new PageImpl<>(content, pageable, total == null ? 0L : total);
   }
@@ -100,10 +100,10 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
   @Override
   public Optional<MapSheetLearnEntity> getInferenceResultByUuid(UUID uuid) {
     return Optional.ofNullable(
-      queryFactory
-        .selectFrom(mapSheetLearnEntity)
-        .where(mapSheetLearnEntity.uuid.eq(uuid))
-        .fetchOne());
+        queryFactory
+            .selectFrom(mapSheetLearnEntity)
+            .where(mapSheetLearnEntity.uuid.eq(uuid))
+            .fetchOne());
   }
 
   @Override
@@ -112,41 +112,41 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     BooleanBuilder builder = new BooleanBuilder();
 
     List<Integer> latestIds =
-      queryFactory
-        .select(systemMetricEntity.id1.max())
-        .from(systemMetricEntity)
-        .groupBy(systemMetricEntity.serverName)
-        .fetch();
+        queryFactory
+            .select(systemMetricEntity.id1.max())
+            .from(systemMetricEntity)
+            .groupBy(systemMetricEntity.serverName)
+            .fetch();
 
     List<Integer> latestGpuIds =
-      queryFactory
-        .select(gpuMetricEntity.id1.max())
-        .from(gpuMetricEntity)
-        .groupBy(gpuMetricEntity.serverName)
-        .fetch();
+        queryFactory
+            .select(gpuMetricEntity.id1.max())
+            .from(gpuMetricEntity)
+            .groupBy(gpuMetricEntity.serverName)
+            .fetch();
 
     List<InferenceServerStatusDto> foundContent =
-      queryFactory
-        .select(
-          Projections.constructor(
-            InferenceServerStatusDto.class,
-            systemMetricEntity.serverName,
-            systemMetricEntity.cpuUser,
-            systemMetricEntity.cpuSystem,
-            systemMetricEntity.memused,
-            systemMetricEntity.kbmemused,
-            gpuMetricEntity.gpuUtil))
-        .from(systemMetricEntity)
-        .leftJoin(gpuMetricEntity)
-        .on(
-          gpuMetricEntity
-            .id1
-            .in(latestGpuIds)
-            .and(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName)))
-        .where(systemMetricEntity.id1.in(latestIds)) // In 절 사용
-        .orderBy(systemMetricEntity.serverName.asc())
-        .limit(4)
-        .fetch();
+        queryFactory
+            .select(
+                Projections.constructor(
+                    InferenceServerStatusDto.class,
+                    systemMetricEntity.serverName,
+                    systemMetricEntity.cpuUser,
+                    systemMetricEntity.cpuSystem,
+                    systemMetricEntity.memused,
+                    systemMetricEntity.kbmemused,
+                    gpuMetricEntity.gpuUtil))
+            .from(systemMetricEntity)
+            .leftJoin(gpuMetricEntity)
+            .on(
+                gpuMetricEntity
+                    .id1
+                    .in(latestGpuIds)
+                    .and(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName)))
+            .where(systemMetricEntity.id1.in(latestIds)) // In 절 사용
+            .orderBy(systemMetricEntity.serverName.asc())
+            .limit(4)
+            .fetch();
 
     return foundContent;
   }
@@ -154,11 +154,11 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
   @Override
   public Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status) {
     return Optional.ofNullable(
-      queryFactory
-        .selectFrom(mapSheetLearnEntity)
-        .where(mapSheetLearnEntity.status.eq(status))
-        .limit(1)
-        .fetchOne());
+        queryFactory
+            .selectFrom(mapSheetLearnEntity)
+            .where(mapSheetLearnEntity.status.eq(status))
+            .limit(1)
+            .fetchOne());
   }
 
   /**
@@ -177,46 +177,46 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QModelMngEntity m3Model = new QModelMngEntity("m3Model");
 
     InferenceStatusDetailDto foundContent =
-      queryFactory
-        .select(
-          Projections.constructor(
-            InferenceStatusDetailDto.class,
-            mapSheetLearnEntity.detectingCnt,
-            mapSheetLearnEntity.m1PendingJobs,
-            mapSheetLearnEntity.m2PendingJobs,
-            mapSheetLearnEntity.m3PendingJobs,
-            mapSheetLearnEntity.m1CompletedJobs,
-            mapSheetLearnEntity.m2CompletedJobs,
-            mapSheetLearnEntity.m3CompletedJobs,
-            mapSheetLearnEntity.m1FailedJobs,
-            mapSheetLearnEntity.m2FailedJobs,
-            mapSheetLearnEntity.m3FailedJobs,
-            mapSheetLearnEntity.m1ModelStartDttm,
-            mapSheetLearnEntity.m2ModelStartDttm,
-            mapSheetLearnEntity.m3ModelStartDttm,
-            mapSheetLearnEntity.m1ModelEndDttm,
-            mapSheetLearnEntity.m2ModelEndDttm,
-            mapSheetLearnEntity.m3ModelEndDttm,
-            mapSheetLearnEntity.title,
-            mapSheetLearnEntity.compareYyyy,
-            mapSheetLearnEntity.targetYyyy,
-            mapSheetLearnEntity.stage,
-            mapSheetLearnEntity.inferStartDttm,
-            mapSheetLearnEntity.inferEndDttm,
-            mapSheetLearnEntity.detectOption,
-            mapSheetLearnEntity.mapSheetScope,
-            m1Model.modelVer.as("model1Ver"),
-            m2Model.modelVer.as("model2Ver"),
-            m3Model.modelVer.as("model3Ver")))
-        .from(mapSheetLearnEntity)
-        .leftJoin(m1Model)
-        .on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
-        .leftJoin(m2Model)
-        .on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
-        .leftJoin(m3Model)
-        .on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
-        .where(mapSheetLearnEntity.uuid.eq(uuid))
-        .fetchOne();
+        queryFactory
+            .select(
+                Projections.constructor(
+                    InferenceStatusDetailDto.class,
+                    mapSheetLearnEntity.detectingCnt,
+                    mapSheetLearnEntity.m1PendingJobs,
+                    mapSheetLearnEntity.m2PendingJobs,
+                    mapSheetLearnEntity.m3PendingJobs,
+                    mapSheetLearnEntity.m1CompletedJobs,
+                    mapSheetLearnEntity.m2CompletedJobs,
+                    mapSheetLearnEntity.m3CompletedJobs,
+                    mapSheetLearnEntity.m1FailedJobs,
+                    mapSheetLearnEntity.m2FailedJobs,
+                    mapSheetLearnEntity.m3FailedJobs,
+                    mapSheetLearnEntity.m1ModelStartDttm,
+                    mapSheetLearnEntity.m2ModelStartDttm,
+                    mapSheetLearnEntity.m3ModelStartDttm,
+                    mapSheetLearnEntity.m1ModelEndDttm,
+                    mapSheetLearnEntity.m2ModelEndDttm,
+                    mapSheetLearnEntity.m3ModelEndDttm,
+                    mapSheetLearnEntity.title,
+                    mapSheetLearnEntity.compareYyyy,
+                    mapSheetLearnEntity.targetYyyy,
+                    mapSheetLearnEntity.stage,
+                    mapSheetLearnEntity.inferStartDttm,
+                    mapSheetLearnEntity.inferEndDttm,
+                    mapSheetLearnEntity.detectOption,
+                    mapSheetLearnEntity.mapSheetScope,
+                    m1Model.modelVer.as("model1Ver"),
+                    m2Model.modelVer.as("model2Ver"),
+                    m3Model.modelVer.as("model3Ver")))
+            .from(mapSheetLearnEntity)
+            .leftJoin(m1Model)
+            .on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
+            .leftJoin(m2Model)
+            .on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
+            .leftJoin(m3Model)
+            .on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
+            .where(mapSheetLearnEntity.uuid.eq(uuid))
+            .fetchOne();
 
     return foundContent;
   }
@@ -227,30 +227,30 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QModelMngEntity model = new QModelMngEntity("model");
 
     InferenceProgressDto dto =
-      queryFactory
-        .select(
-          Projections.constructor(
-            InferenceProgressDto.class,
-            Projections.constructor(
-              InferenceProgressDto.pred_requests_areas.class,
-              mapSheetLearnEntity.compareYyyy,
-              mapSheetLearnEntity.targetYyyy,
-              mapSheetLearnEntity.modelComparePath,
-              mapSheetLearnEntity.modelTargetPath),
-            model.modelVer.as("modelVer"),
-            model.cdModelPath.as("cdModelPath"),
-            model.cdModelFileName.as("cdModelFileName"),
-            model.cdModelConfigPath.as("cdModelConfigPath"),
-            model.cdModelConfigFileName.as("cdModelConfigFileName"),
-            model.clsModelPath,
-            model.clsModelFileName,
-            model.clsModelVersion,
-            model.priority))
-        .from(mapSheetLearnEntity)
-        .join(model)
-        .on(model.uuid.eq(modelUuid))
-        .where(mapSheetLearnEntity.id.eq(id))
-        .fetchOne();
+        queryFactory
+            .select(
+                Projections.constructor(
+                    InferenceProgressDto.class,
+                    Projections.constructor(
+                        InferenceProgressDto.pred_requests_areas.class,
+                        mapSheetLearnEntity.compareYyyy,
+                        mapSheetLearnEntity.targetYyyy,
+                        mapSheetLearnEntity.modelComparePath,
+                        mapSheetLearnEntity.modelTargetPath),
+                    model.modelVer.as("modelVer"),
+                    model.cdModelPath.as("cdModelPath"),
+                    model.cdModelFileName.as("cdModelFileName"),
+                    model.cdModelConfigPath.as("cdModelConfigPath"),
+                    model.cdModelConfigFileName.as("cdModelConfigFileName"),
+                    model.clsModelPath,
+                    model.clsModelFileName,
+                    model.clsModelVersion,
+                    model.priority))
+            .from(mapSheetLearnEntity)
+            .join(model)
+            .on(model.uuid.eq(modelUuid))
+            .where(mapSheetLearnEntity.id.eq(id))
+            .fetchOne();
     return dto;
   }
 
@@ -261,10 +261,10 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
    */
   public UUID getProcessing() {
     return queryFactory
-      .select(mapSheetLearnEntity.uuid)
-      .from(mapSheetLearnEntity)
-      .where(mapSheetLearnEntity.status.eq("IN_PROGRESS"))
-      .fetchOne();
+        .select(mapSheetLearnEntity.uuid)
+        .from(mapSheetLearnEntity)
+        .where(mapSheetLearnEntity.status.eq("IN_PROGRESS"))
+        .fetchOne();
   }
 
   @Override
@@ -274,17 +274,17 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     entity.setTargetYyyy(targetYear);
 
     Integer stage =
-      queryFactory
-        .select(mapSheetLearnEntity.stage)
-        .from(mapSheetLearnEntity)
-        .where(
-          mapSheetLearnEntity
-            .compareYyyy
-            .eq(compareYear)
-            .and(mapSheetLearnEntity.targetYyyy.eq(targetYear)))
-        .orderBy(mapSheetLearnEntity.stage.desc())
-        .limit(1)
-        .fetchOne();
+        queryFactory
+            .select(mapSheetLearnEntity.stage)
+            .from(mapSheetLearnEntity)
+            .where(
+                mapSheetLearnEntity
+                    .compareYyyy
+                    .eq(compareYear)
+                    .and(mapSheetLearnEntity.targetYyyy.eq(targetYear)))
+            .orderBy(mapSheetLearnEntity.stage.desc())
+            .limit(1)
+            .fetchOne();
 
     return stage == null ? 1 : stage + 1;
   }
@@ -296,28 +296,28 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QModelMngEntity m3 = new QModelMngEntity("m3");
 
     return queryFactory
-      .select(
-        Projections.constructor(
-          AnalResultInfo.class,
-          mapSheetLearnEntity.title,
-          m1.modelVer,
-          m2.modelVer,
-          m3.modelVer,
-          mapSheetLearnEntity.compareYyyy,
-          mapSheetLearnEntity.targetYyyy,
-          mapSheetLearnEntity.detectOption,
-          mapSheetLearnEntity.mapSheetScope,
-          mapSheetLearnEntity.inferStartDttm,
-          mapSheetLearnEntity.inferEndDttm))
-      .from(mapSheetLearnEntity)
-      .leftJoin(m1)
-      .on(mapSheetLearnEntity.m1ModelUuid.eq(m1.uuid))
-      .leftJoin(m2)
-      .on(mapSheetLearnEntity.m2ModelUuid.eq(m2.uuid))
-      .leftJoin(m3)
-      .on(mapSheetLearnEntity.m3ModelUuid.eq(m3.uuid))
-      .where(mapSheetLearnEntity.uuid.eq(UUID.fromString(uuid)))
-      .fetchOne();
+        .select(
+            Projections.constructor(
+                AnalResultInfo.class,
+                mapSheetLearnEntity.title,
+                m1.modelVer,
+                m2.modelVer,
+                m3.modelVer,
+                mapSheetLearnEntity.compareYyyy,
+                mapSheetLearnEntity.targetYyyy,
+                mapSheetLearnEntity.detectOption,
+                mapSheetLearnEntity.mapSheetScope,
+                mapSheetLearnEntity.inferStartDttm,
+                mapSheetLearnEntity.inferEndDttm))
+        .from(mapSheetLearnEntity)
+        .leftJoin(m1)
+        .on(mapSheetLearnEntity.m1ModelUuid.eq(m1.uuid))
+        .leftJoin(m2)
+        .on(mapSheetLearnEntity.m2ModelUuid.eq(m2.uuid))
+        .leftJoin(m3)
+        .on(mapSheetLearnEntity.m3ModelUuid.eq(m3.uuid))
+        .where(mapSheetLearnEntity.uuid.eq(UUID.fromString(uuid)))
+        .fetchOne();
   }
 
   @Override